Company
AI
SeniorPythonEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Engineer. Skills: Python, integration architecture, AI deployment and scaling. Support the Enterprise Integrations team in managing and executing integration processes from design to deployment. Collect and define requirements from internal stakeholders”
What You'll Achieve.
captures revenue businesses were leaving on the table; over 1,000 customers already seeing results; scale across restaurants, dental practices, HVAC companies, cleaning services, and call centers; customers’ revenue operations; large accounts and partners adopt AI at scale; ensuring production readiness and technical excellence; maintain project momentum; demonstrating a proactive “get things done” approach; consistently delivering results under tight deadlines; clear revenue and performance outcomes attached to your work; deploy voice and chat AI employees in minutes across multiple channels and tools
Industry & Context.
Actively identify and resolve blockers
working hours aligned to 9:30 AM – 6:30 PM UTC
What They're Looking For.
Must Have
4+ years of hands-on backend development experience, Python (FastAPI), REST, gRPC, SQL, Apache Kafka, Redis, Postman, Experience designing and implementing robust, scalable integration solutions with external partners and service providers, Background as a backend engineer with solid understanding of event-driven and asynchronous architectures, Familiarity with Agile/Scrum processes, Tools such as YouTrack and Grafana, Proven stakeholder management and scope-control skills, communication, prioritization, and time-management abilities, English language B2+ (writing and speaking)
Nice to Have
Senior title preferred
What You'll Do.
Support the Enterprise Integrations team in managing and executing integration processes from design to deployment
Collect and define requirements from internal stakeholders
estimate task complexity
plan delivery timelines
Design and implement reliable
scalable integration solutions
Conduct regular code reviews
maintain a consistent
high-quality code base
Strictly follow delivery deadlines
ensuring production readiness and technical excellence
Monitor and stabilize integrations post-deployment
Actively identify and resolve blockers to maintain project momentum
How You'll Work.
Team & Collaboration
work closely with the CTO and a senior engineering team; Support the Enterprise Integrations team; Collect and define requirements from internal stakeholders
Communication Scope
communication; English language B2+ (writing and speaking)
Process & Methodology
plan delivery timelines, Strictly follow delivery deadlines, Actively identify and resolve blockers to maintain project momentum
Full Job Description
ABOUT THE COMPANY Our client is transforming how small businesses handle customer calls through an AI-powered voice system that works out of the box. Their platform answers calls 24/7, books appointments, and handles customer requests automatically, no coding or complex setup required. Founded by experienced entrepreneurs with deep expertise in AI and business operations, the company has built a solution that captures revenue businesses were leaving on the table, with over 1,000 customers already seeing results. As they scale across restaurants, dental practices, HVAC companies, cleaning services, and call centers, they're building a category-defining product in a massive, underserved market. THE OPPORTUNITY As a Senior Python Engineer, you will step into a high-ownership role where you directly shape how AI is deployed and scaled across real-world businesses. You will work closely with the CTO and a senior engineering team, defining integration architecture, delivery approaches, and technical standards in a growing AI startup. This role lets you combine deep backend engineering with strategic, stakeholder-facing work, building integrations that are central to customers’ revenue operations and how large accounts and partners adopt AI at scale. WHAT YOU'LL DO - Support the Enterprise Integrations team in managing and executing integration processes from design to deployment - Collect and define requirements from internal stakeholders, estimate task complexity, and plan delivery timelines - Design and implement reliable, scalable integration solutions using Python, REST, gRPC, Apache Kafka, Redis, and SQL - Conduct regular code reviews and maintain a consistent, high-quality code base - Strictly follow delivery deadlines, ensuring production readiness and technical excellence - Monitor and stabilize integrations post-deployment using observability tools like Grafana - Actively identify and resolve blockers to maintain project momentum, demonstrating a proactive “g
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